An Improved BEMD Method for SAR Image Noise Suppression
Guo Jimin · Wuhan Daxue xuebao. Xinxi kexue ban · 2013
For boundary pollution problems occurring during the process of SAR image noise suppression by bidimensional empirical mode decomposition(BEMD),an improved BEMD method of image denoising is proposed.In this method,the noisy SAR image is decomposed into detail parts and contour parts using BEMD.First,the extreme points are triangulated,and interpolation boundaries equivalents are extended.Then,the surfaces of the IMF components after interpolation are decomposed,and the IMF components with noise after the decomposition are processed by wavelet filtering.Finally,images are reconstructed.Experimental results show that this method effecive for suppressing speckle noise,as compared to the bidimensional empirical mode decomposition,and has sufficiently advantages when retaining edges and detail information while suppressing noise.